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Applied Jobs in San Ramon, CA (NOW HIRING)

Nexusflow.ai Inc.

Applied ML Engineer

Palo Alto, CA · On-site

Applied ML Engineers Nexusflow is currently adding Applied ML Engineers to our team. Our Applied ML Engineers power our LLMs as well as Nexusflow's methodologies for last-mile quality tooling for ...

Clipboard Health

Applied Scientist

San Francisco, CA · On-site

$160K - $225K/yr

About the Role We're building a new team, Applied Science, and we're looking for our first outside hire. Clipboard is a Sequoia-backed marketplace connecting nurses and healthcare professionals with ...

Adobe

Applied Scientist

San Jose, CA

Adobe is seeking Applied Scientists at both early-career and senior levels to develop AI innovations from research concepts through product validation and technology transfer. You will identify ...

Hop

Applied Data Scientist

San Francisco, CA · On-site

They are seeking an Applied Data Scientist to build and maintain machine learning models, apply NLP techniques, and partner with engineering to move models into production. Responsibilities : • ...

Hop

Applied Data Scientist

San Francisco, CA · On-site

They are seeking an Applied Data Scientist to build and maintain machine learning models, design experiments, and apply NLP techniques to enhance their AI products. Responsibilities : • Build and ...

Apply

Director, Applied Machine Learning

San Francisco, CA · On-site

$250 - $350/hr

About the Role As Director of Applied ML, you'll lead the function that sits at the intersection of frontier AI research and enterprise-scale delivery. You'll own three core pillars: post-training ...

Capital One

Applied Researcher II

San Jose, CA

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Capital One

Applied Researcher II

San Francisco, CA

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Capital One

Applied Researcher II

San Francisco, CA

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Capital One

Applied Researcher II

San Francisco, CA

Applied Researcher II At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to ...

Capital One

Applied Researcher II

San Jose, CA

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine ...

Capital One

Applied Researcher II

San Jose, CA

Applied Researcher II At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to ...

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Showing results 1-20

All JobsApplied JobsApplied Jobs in San Ramon, CA

Applied information

See San Ramon, CA salary details

$34.6K

$65K

$96.7K

How much do applied jobs pay per year?

As of Aug 18, 2026, the average yearly pay for applied in San Ramon, CA is $65,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,600.00 and $74,300.00 per year, depending on experience, location, and employer.

What does an applied job title mean?

The term 'Applied' in a job title typically refers to roles that focus on the practical application of knowledge and skills within a specific field, such as applied science, applied mathematics, or applied engineering. These positions emphasize using theoretical concepts to solve real-world problems or develop practical solutions. For example, an 'Applied Scientist' would use scientific principles to create products or processes that address industry needs. The exact responsibilities will depend on the field and the organization. It's important to review the full job description to understand what 'Applied' means in the specific context.

What are the key skills and qualifications needed to thrive as an applied scientist, and why are they important?

To thrive as an Applied Scientist, you need a strong background in mathematics, statistics, and programming, usually supported by an advanced degree in a relevant field like computer science, engineering, or data science. Familiarity with tools such as Python, R, SQL, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with big data platforms are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills that distinguish top performers in this role. These skills are crucial for developing innovative solutions, collaborating across teams, and translating complex data insights into actionable business strategies.

What are some typical challenges faced by professionals in applied research roles, and how can they be addressed?

Professionals in applied research roles often encounter challenges such as bridging the gap between theoretical findings and practical implementation, managing cross-disciplinary collaborations, and adapting to rapidly evolving technologies. Overcoming these challenges typically involves strong communication skills to translate complex ideas, flexibility to pivot research direction based on stakeholder needs, and a willingness to continually learn new tools and methods. Building collaborative relationships with both technical and non-technical team members can also help ensure that research outcomes are effectively integrated into real-world applications.

What is the difference between Applied vs Data Analyst?

AspectAppliedData Analyst
Required CredentialsTypically a degree in applied sciences, engineering, or related fieldsUsually a degree in statistics, mathematics, or data science
Work EnvironmentHands-on, practical settings such as labs, manufacturing, or fieldworkOffice-based, focused on data interpretation and reporting
Industry UsageCommon in engineering, manufacturing, and applied sciencesPrevalent in finance, marketing, healthcare, and tech
Comparison IntentApplied focuses on practical implementation and real-world problem solvingData Analyst emphasizes data analysis, visualization, and insights

Applied roles involve practical application of scientific principles in real-world settings, while Data Analysts focus on interpreting data to inform decisions. Both roles require analytical skills but differ in work environment and industry focus.

What job categories do people searching Applied jobs in San Ramon, CA look for?

The top searched job categories for Applied jobs in San Ramon, CA are:

Applied jobs near you
Infographic showing various Applied job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $65,037 per year, or $31.3 per hour.

Applied Research Engineer

Applied Compute

San Francisco, CA • On-site

$200K - $320K/yr

Full-time

Medical, Retirement, PTO

Re-posted 27 days ago

Job description

The role
As an applied research engineer, you'll own customer engagements end-to-end: understanding their data, their workflows, and their problems, then building and deploying agents that deliver real value. For our largest customers, you'll train custom models tailored to their specific needs. For others, you'll take what you learn and bring it back to improve our general agents.
What you'll do
  • Train and post-train models for enterprises, from environment design through deployment
  • Own engagements end-to-end, working directly with technical and business stakeholders
  • Navigate new customer architectures, data systems, and requirements quickly
  • Surface learnings from customers and contribute them back to our platform
  • Collaborate across research, product, and infrastructure to define architectures, evaluation frameworks, and best practices

What we're looking for
  • Meaningful AI research experience, either in industry or academic work
  • Comfort diving into unfamiliar codebases and training models on real-world, messy data
  • Strong problem-solving skills, especially in ambiguous, fast-changing environments
  • Ability to work directly with customers: listening, empathizing, and understanding how their organizations operate
  • Desire to own problems end-to-end and deliver outcomes

Strong candidates also have
  • Experience training or fine-tuning language models in production settings
  • Background building RL environments, evaluation frameworks, or agent systems
  • Previous experience as a founder or early engineer at a zero-to-one company
  • Technical creativity through side projects, open source contributions, or published work
  • Experience at companies with forward-deployed or customer-facing engineering cultures

The U.S. base salary range for this full-time position is $200,000-$320,000. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a comprehensive benefits package designed to support you both personally and professionally. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.
About us
Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and institutional expertise. Our researchers and platform embed directly within customer environments to build custom evals, train models, and deploy agents that get better with use.
  • Why we're excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they ship agents into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed.
  • Who we are: We're a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, Watershed, and others. We work with F50 customers and are fortunate to be backed by partners like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.
  • Who Thrives Here: We're looking for people who are excited about applying novel research and complex systems to real-world problems. Our team genuinely enjoys working with customers: listening, empathizing, and understanding how work actually gets done in their organizations. Former founders, people who've built a lot of side projects, or anyone who's shown they can own something end-to-end, tend to do well here.

Benefits & Logistics
This role is based in San Francisco. We work from our office in the Mission. We offer:
  • Competitive compensation and equity
  • 100% employer-paid health insurance coverage
  • Unlimited PTO
  • Paid parental leave
  • Daily lunches and dinners
  • Transportation and relocation support
  • Retirement plans

We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you. We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Apply